SOTAVerified

Scene Understanding

Scene understanding involves interpreting the visual information of a scene, including objects, their spatial relationships, and the overall layout. It goes beyond simple object recognition by considering the context and how objects relate to each other and the environment.

Papers

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Showing 1201–1250 of 1723 papers

TitleStatusHype
Unsupervised Single-shot Depth Estimation using Perceptual ReconstructionCode0
Moving Beyond Navigation with Active Neural SLAM—0
Towards holistic scene understanding: Semantic segmentation and beyond—0
Interactive Attention AI to translate low light photos to captions for night scene understanding in women safety—0
Scene Graph Generation: A Comprehensive Survey—0
Glass Segmentation Using Intensity and Spectral Polarization Cues—0
Segment-Fusion: Hierarchical Context Fusion for Robust 3D Semantic Segmentation—0
Weakly Supervised Segmentation on Outdoor 4D Point Clouds With Temporal Matching and Spatial Graph PropagationCode0
HSPACE: Synthetic Parametric Humans Animated in Complex Environments—0
Distillation of Human-Object Interaction Contexts for Action Recognition—0
Improving Human-Object Interaction Detection via Phrase Learning and Label Composition—0
Image-to-Height Domain Translation for Synthetic Aperture Sonar—0
3D Scene Understanding at Urban Intersection using Stereo Vision and Digital Map—0
Roominoes: Generating Novel 3D Floor Plans From Existing 3D Rooms—0
4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding—0
Joint Modeling of Visual Objects and Relations for Scene Graph Generation—0
Contrastive Instance Association for 4D Panoptic Segmentation using Sequences of 3D LiDAR ScansCode0
REMIPS: Physically Consistent 3D Reconstruction of Multiple Interacting People under Weak Supervision—0
Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding—0
Zero-Shot Semantic Segmentation via Spatial and Multi-Scale Aware Visual Class Embedding—0
DiffSDFSim: Differentiable Rigid-Body Dynamics With Implicit Shapes—0
PAPooling: Graph-based Position Adaptive Aggregation of Local Geometry in Point Clouds—0
Not All Relations are Equal: Mining Informative Labels for Scene Graph Generation—0
Joint stereo 3D object detection and implicit surface reconstructionCode0
Panoptic Segmentation Meets Remote Sensing—0
Talk-to-Resolve: Combining scene understanding and spatial dialogue to resolve granular task ambiguity for a collocated robot—0
Robust 3D Scene Segmentation through Hierarchical and Learnable Part-Fusion—0
Robust deep learning-based semantic organ segmentation in hyperspectral images—0
DriveGuard: Robustification of Automated Driving Systems with Deep Spatio-Temporal Convolutional Autoencoder—0
When Neural Networks Using Different Sensors Create Similar Features—0
Semantic Detection of Potential Wind-borne Debris in Construction Jobsites: Digital Twining for Hurricane Preparedness and Jobsite Safety—0
Adversarial Scene Reconstruction and Object Detection System for Assisting Autonomous Vehicle—0
Monocular Depth Estimation with Sharp Boundary—0
Unsupervised Domain Adaptation for LiDAR Panoptic Segmentation—0
Semantic Dense Reconstruction with Consistent Scene Segments—0
Referring Self-supervised Learning on 3D Point Cloud—0
D-Net: A Generalised and Optimised Deep Network for Monocular Depth EstimationCode0
Efficient Point Transformer for Large-scale 3D Scene Understanding—0
Audio-Visual Collaborative Representation Learning for Dynamic Saliency Prediction—0
Label-Attention Transformer with Geometrically Coherent Objects for Image CaptioningCode0
Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning to Segment Driveability in Egocentric Images—0
On the Sins of Image Synthesis Loss for Self-supervised Depth Estimation—0
Residual 3D Scene Flow Learning with Context-Aware Feature Extraction—0
Single Image 3D Object Estimation with Primitive Graph NetworksCode0
RefineCap: Concept-Aware Refinement for Image Captioning—0
Improving Building Segmentation for Off-Nadir Satellite Imagery—0
Binaural SoundNet: Predicting Semantics, Depth and Motion with Binaural Sounds—0
Multi-task learning from fixed-wing UAV images for 2D/3D city modeling—0
Deep Bayesian Image Set Classification: A Defence Approach against Adversarial Attacks—0
A Multiple-View Geometric Model for Specularity Prediction on General Curved Surfaces—0
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All datasetsSemantic Scene Understanding Challenge (passive actuation & ground-truth localisation)ADE20K valSemantic Scene Understanding Challenge (active actuation & ground-truth localisation)

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ACRV BaselineOMQ0.44—Unverified
2Team VGAI (TCS Research)OMQ0.37—Unverified
3Demo_semantic_SLAMOMQ0.11—Unverified
#ModelMetricClaimedVerifiedStatus
1CPN(ResNet-101)Mean IoU46.3—Unverified
#ModelMetricClaimedVerifiedStatus
1ACRV BaselineOMQ0.35—Unverified